標題: An EM based multiple instance learning method for image classification
作者: Pao, H. T.
Chuang, S. C.
Xu, Y. Y.
Fu, Hsin-Chia
資訊工程學系
管理科學系
Department of Computer Science
Department of Management Science
關鍵字: multiple-instance learning;image retrieve;WWW;EM method
公開日期: 1-Oct-2008
摘要: In this paper, we propose an EM based learning algorithm to provide a comprehensive procedure for maximizing the measurement of diverse density on given multiple Instances. Furthermore, the new EM based learning framework converts an MI problem into a single-instance treatment by using EM to maximize the instance responsibility for the corresponding label of each bag. To learn a desired image class, a user may select a set of exemplar images and label them to be conceptual related (positive) or conceptual unrelated (negative) images. A positive image consists of at least one object that the user may be interested, and a negative image should not contain any object that the user may be interested. By using the proposed EM based learning algorithm, an image retrieval prototype system is implemented. Experimental results show that for only a few times of relearning cycles, the prototype system can retrieve user's favor images from WWW over Internet. (C) 2007 Published by Elsevier Ltd.
URI: http://dx.doi.org/10.1016/j.eswa.2007.08.055
http://hdl.handle.net/11536/8295
ISSN: 0957-4174
DOI: 10.1016/j.eswa.2007.08.055
期刊: EXPERT SYSTEMS WITH APPLICATIONS
Volume: 35
Issue: 3
起始頁: 1468
結束頁: 1472
Appears in Collections:Articles


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